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Rz5d base processor

Manufactured by Tucker-Davis Technologies
Sourced in United States

The RZ5D base processor is a high-performance, multi-function digital signal processing device designed for a wide range of applications. It features a powerful processor, robust input/output capabilities, and configurable digital I/O. The RZ5D serves as the core processing component in Tucker-Davis Technologies' comprehensive suite of lab equipment.

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2 protocols using rz5d base processor

1

Intracortical Microstimulation Frequency Mapping

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ICMS was performed using an IZ2 stimulator controlled by an RZ5D base processor (Tucker-Davis Technologies, FL, US). Each pulse consisted of a 200 µs cathodic leading phase followed by a 200 µs anodic phase, with balanced charges between the cathodic and anodic phases. The current was fixed to ±20 µA (4 nC/phase), selected to be lower than the safety limit (k = log(Q) + log(Q/A) ≈ 0.36 < 1.7, where Q and Q/A represent charge per phase [µC/phase] and charge density per phase [µC cm−2/phase], and value k below 1.7 can be considered as a safe configuration [44 (link)]). Six different train frequencies (10, 25, 50, 100, 250, and 500 Hz) were tested. The order of ICMS trials was repeated two times in ascending-descending frequency order (10–500, 500–10, 10–500, 500–10 Hz).
For comparison, a single blue LED was positioned in front of the animal’s eye contralateral to the imaging window as a more natural visual stimulus (n = 5 out of 8 mice in the mesoscopic-scale widefield imaging, n = 5 out of 9 mice in the two-photon imaging). The LED was controlled by the stimulator, applying a square wave at 10 Hz (50 ms on, 50 ms off, 50% duty cycle) with an amplitude of 2.5 V. All stimulation trials were repeated 4 times.
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2

Neurophysiology Recordings in Open Field

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Animals were placed in a familiar open field made of plexiglass (27 X 42 cm) and allowed to move freely. Each session consisted of 2 to 4 h of pre- and post-injection recordings. Raw data were sampled at 24 KHz using a Neurophysiology Workstation (RZ5D base processor and PZ5 NeuroDigitizer amplifier, Tucker-Davis Technologies Inc). Offline, spikes were extracted by passing the raw data through a median filter (window half-length = 10 samples) and setting a threshold of ± 2 MAD. Spike waveforms (32 samples symmetrical around the peak) were semi-automatically clustered using KlustaKwik (Kadir et al., 2014 (link)) followed by manual inspection using Klusters (Hazan et al., 2006 (link)). All subsequent data analysis was done using MATLAB (Mathworks, Natick MA). Clusters were defined as single units and included in the analysis only if they fulfilled the following criteria: (1) the presence of a refractory period (less than 1% of inter-spike intervals < 3 ms (Tankus et al., 2009 ); (2) an Isolation Distance > 20 (Harris et al., 2001 (link), Harris et al., 2016 (link)), (3) a mean firing rate greater than 0.05 Hz during the baseline (pre-injection) period, and (4) a stable baseline firing rate during the pre-injection period.
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